The device uses computer vision to identify target objects in the user’s environment, determine misalignment between the user’s hand and the object, and then convey, via natural human-device interfaces, the hand motion needed to grasp the object.
The device will enhance an individual’s ability to travel independently by helping the user identify and manipulate moveable obstacles. It will also help people grasp objects for non-navigational purposes, such as identifying and correctly manoeuvring a specific door handle.
The device is being developed by Professor Cang Ye at University of Arkansas at Little Rock.
Two other co-robot projects being developed as part of the National Robotics Initiative are a smart-walker to increase mobility for older people, and a social-robot companion for kids.